#
machine-learning-interpretability
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A curated list of awesome machine learning interpretability resources.
python
data-science
machine-learning
data-mining
awesome
r
awesome-list
transparency
fairness
accountability
interpretability
interpretable-deep-learning
interpretable-ai
interpretable-ml
explainable-ml
xai
fatml
interpretable-machine-learning
iml
machine-learning-interpretability
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Updated
Aug 19, 2020
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
python
data-science
machine-learning
data-mining
h2o
gradient-boosting-machine
transparency
decision-tree
fairness
lime
accountability
interpretability
interpretable-ai
interpretable-ml
xai
fatml
interpretable
interpretable-machine-learning
iml
machine-learning-interpretability
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Aug 11, 2020 - Jupyter Notebook
H2O.ai Machine Learning Interpretability Resources
python
data-science
machine-learning
data-mining
h2o
xgboost
transparency
jupyter-notebooks
fairness
accountability
interpretability
interpretable-ai
interpretable-ml
explainable-ml
mli
xai
fatml
interpretable-machine-learning
iml
machine-learning-interpretability
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Updated
May 22, 2020 - Jupyter Notebook
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
python
data-science
machine-learning
data-mining
healthcare
xgboost
transparency
interpretability
interpretable-ml
explainable-ml
xai
interpretable-machine-learning
iml
machine-learning-interpretability
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Updated
Sep 7, 2018 - Jupyter Notebook
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
data-science
machine-learning
data-mining
transparency
fairness
accountability
interpretability
interpretable-ai
interpretable-ml
explainable-ai
explainable-ml
xai
fatml
interpretable-machine-learning
iml
machine-learning-interpretability
fairness-ai
fairness-ml
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Updated
Nov 19, 2019 - TeX
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
python
data-science
machine-learning
data-mining
gradient-boosting-machine
transparency
decision-trees
fairness
lime
accountability
interpretability
interpretable-ai
interpretable-ml
xai
fatml
interpretable
interpretable-machine-learning
iml
machine-learning-interpretability
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Updated
Jul 15, 2020 - Jupyter Notebook
Article for Special Edition of Information: Machine Learning with Python
python
data-science
machine-learning
interpretable-ai
interpretable-ml
explainable-ai
explainable-ml
xai
fatml
fairness-testing
interpretable-machine-learning
iml
machine-learning-interpretability
fairness-ai
fairness-ml
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Updated
May 6, 2020 - Jupyter Notebook
Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539
python
data-science
machine-learning
data-mining
transparency
interpretability
interpretable-ai
interpretable-ml
explainable-ml
xai
fatml
interpretable-machine-learning
iml
machine-learning-interpretability
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Updated
Dec 7, 2018 - TeX
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
machine-learning
transparency
aaai
interpretability
rule-based
interpretable-ai
interpretable-ml
explainable-ai
explainable-ml
xai
interpretable-machine-learning
iml
machine-learning-interpretability
explainability
rule-sets
interpretml
transparent-ml
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Updated
Feb 19, 2020 - Python
TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning
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Aug 11, 2019 - JavaScript
Overview of machine learning interpretation techniques and their implementations
python
data-science
machine-learning
transparency
interpretation
interpretability
model-interpretation
interpretable-ai
interpretable-ml
mli
xai
interpretable-machine-learning
machine-learning-interpretability
interpretable-classifcation
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Aug 22, 2019 - Jupyter Notebook
Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
data-mining
business-intelligence
model-selection
behaviour
likelihood
optimisation
exploratory-analysis
insight
business-analytics
marketing-campaigns
machine-learning-interpretability
propensity-modelling
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Updated
May 12, 2020 - R
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